gsvcm: gsvcm: A package for generalized spatially varying...
In funstatpackages/gsvcm: Generalized Spatially Varying Coefficient Models
Description
fit.gsvcm
test.gsvcm
cv.gsvcm
Description
This R package is the implementation program for manuscript entitled "Generalized Spatially Varying Coefficinet Models" by Myungjin Kim and Li Wang.
The gsvcm package provides the following functions:
fit.gsvcm, test.gsvcm, and cv.gsvcm.
fit.gsvcm
The fit.gsvcm fits the generalized spatially varying coeffcient models.
test.gsvcm
The test.gsvcm implements Generalized Quasi-Likelihood Ratio (GQLR) test using wild bootstrap.
cv.gsvcm
The cv.gsvcm implements k-fold cross-validation MSPE for generalized spartially varying coefficient regression, and returns the mean squared prediction error (MSPE).
funstatpackages/gsvcm documentation built on May 9, 2020, 12:46 a.m.
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Description fit.gsvcm test.gsvcm cv.gsvcm
Description
This R package is the implementation program for manuscript entitled "Generalized Spatially Varying Coefficinet Models" by Myungjin Kim and Li Wang. The gsvcm package provides the following functions: fit.gsvcm, test.gsvcm, and cv.gsvcm.
fit.gsvcm
The fit.gsvcm fits the generalized spatially varying coeffcient models.
test.gsvcm
The test.gsvcm implements Generalized Quasi-Likelihood Ratio (GQLR) test using wild bootstrap.
cv.gsvcm
The cv.gsvcm implements k-fold cross-validation MSPE for generalized spartially varying coefficient regression, and returns the mean squared prediction error (MSPE).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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